Moderation that understands context
Generic moderation fails communities. Define your context in plain English—cultural nuances, community values, specific threats—and get a custom API endpoint that actually gets it.
Define moderation in plain English
Create specific moderation funnels for different contexts. Describe what you need in natural language, and Insaaf AI generates a dedicated API endpoint.
Platforms that care about getting moderation right
Generic filters miss context. Build spaces where communities thrive and bad actors don't.
Community Platforms
Build spaces where diverse communities connect safely—understanding cultural context, not just keywords.
Faith-Based Apps
Prayer apps, religious learning platforms, and spiritual communities that need moderation respecting sacred contexts.
Gaming Communities
Detect toxicity and harassment in real-time while understanding gaming culture and banter.
Education Platforms
Protect students from predatory behavior and harmful content in learning environments.
Global Platforms
Serve diverse audiences fairly—moderation that understands different cultures, not just English contexts.
Content & Social Apps
Let creators express themselves while blocking genuine harm—without over-censoring minority voices.
Everything you need, nothing you don't
Simple integration, powerful results. Get to production in minutes.
Custom Prompts
Define moderation rules in plain English. No complex configurations or machine learning expertise required.
Context-Aware
Describe your platform's context once. Insaaf AI understands the difference between a gaming chat and a professional forum.
Baseline Protection
Built-in detection for hate speech, harassment, profanity, sexual content, CSAM, spam, and harmful content. Always on.
Simple API
One endpoint, instant results. Integrate in minutes with our REST API and SDKs for all major languages.
Batch Processing
Moderate thousands of items at once. Perfect for historical content audits or high-volume platforms.
Analytics Dashboard
Real-time insights into moderation trends, flagged content patterns, and community health metrics.
Muslim Cultural Sensitivity
Deep understanding of Islamic contexts, terminology, and community needs
Standard moderation systems consistently fail Muslim users. Islamic terms get flagged as extremism. Arabic prayers trigger false positives. Meanwhile, actual anti-Muslim hate slips through because systems weren't trained to recognize it.
Insaaf AI is different. We've built deep understanding of Islamic contexts into our core—distinguishing sincere worship from mockery, protecting sacred discussions, and catching hate that generic systems miss.
Moderation that understands your context
Stop fighting generic moderation that doesn't fit your domain. Define what matters in plain English. Start free, scale when you're ready.